Results 251 to 260 of about 310,714 (306)

Quantitative analysis of sequential nucleic acid elution from silica paramagnetic beads.

Analyst
Varon A, Schares J, Hsieh K, Downs B, Wang TH.   +4 more
europepmc   +1 more source

Motor cortical areas facilitate schema-mediated integration of new motor information into memory. [PDF]

Imaging Neurosci (Camb)
Reverberi S, Dolfen N, King BR, Albouy G.   +3 more
europepmc   +1 more source

Understanding Adults' Spatial Cognitive Processes: A Time-Embedded N-Grams Model with Machine Learning. [PDF]

J Intell
He Q, Chen Y, Tighe EL, Kaldes G.
europepmc   +1 more source

Mining Compressed Sequential Patterns

, 2006
Current sequential pattern mining algorithms often produce a large number of patterns. It is difficult for a user to explore in so many patterns and get a global view of the patterns and the underlying data. In this paper, we examine the problem of how to compress a set of sequential patterns using only K SP-Features(Sequential Pattern Features).
Lei Chang, Dongqing Yang, Shiwei Tang, Tengjiao Wang 0003   +3 more
openaire   +2 more sources

Maximal Sequential Patterns

, 2011
This chapter introduces maximal sequential patterns, how to extract them, and some applications of maximal sequential patterns for document processing and web content mining. The main objective of this chapter is showing that maximal sequential patterns preserve document semantic, and therefore they could be a good alternative to the word and n-gram ...
René Arnulfo García-Hernández, J. Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa   +2 more
openaire   +2 more sources

A data mining approach to discovering reliable sequential patterns

Journal of Systems and Software, 2013
Sequential pattern mining is a data mining method for obtaining frequent sequential patterns in a sequential database. Conventional sequence data mining methods could be divided into two categories: Apriori-like methods and pattern growth methods.
Chichang Jou
exaly   +2 more sources